Why review your strategy with multiple AI models, not one
More people are turning to AI chat tools when thinking through a business strategy. Convenience and speed are real advantages, but relying on a single AI has some real limits. Here's a way to think about having multiple AI models review each other instead.
The limits of relying on a single model
When you have one AI model write a strategy draft, that model's particular strengths and blind spots show up directly in the output. One model might be strong on cost analysis but thin on competitive positioning, for instance. Looking at just one opinion makes that kind of bias hard to notice.
Having multiple AI models review each other
An alternative is to have several different AI models draft independently, then review each other's work. MLP Strategy Council, for example, has AI roles with different perspectives each take on a different role and produce a strategy draft. The drafts then score and rank each other as Response A/B/C, helping cover each model's blind spots.
A chairman AI synthesizes, then stakeholders object
After the mutual review, a chairman model merges the strongest elements of each draft into one. But that isn't the end — roles representing actual decision-makers, such as a CFO, sales director or reviewer, are then used to challenge the merged draft. This helps catch, ahead of time, the kind of objection that would otherwise only surface for the first time in a real meeting.
Only use numbers you actually provide
Strategy documents almost always involve financial projections, and it's worth being cautious that AI can generate plausible-looking numbers without real backing. A safer approach is to have any charts built only from numbers you supply yourself, and to label them clearly as estimates.
Human judgment is still essential
Multi-model review and objection role-play are useful ways to reduce blind spots. But the final call on which strategy to pursue, and which risks to take, always has to be made by a person. Treat the AI-generated strategy and objection tables as material to support your decision-making, and always review the content yourself before acting on it.
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